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Staff Data Scientist

Ripple San Francisco, CA, United StatesEngineering
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Salary
$212K — $265K USD
Job type
Full-time
Experience
Senior · 8+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

Based in San Francisco, CA, the Staff Data Scientist position acts as the technical lead across the company's product and business portfolio to define analytics strategies and scale data science frameworks. This role suits an experienced quantitative professional with a strong background in product analytics and technical leadership who wants to shape the future of crypto solutions.

Role Overview

Ripple seeks a Staff Data Scientist to serve as a technical lead across diverse product and business teams in San Francisco, CA. The professional in this position will establish analytical standards, solve complex challenges, and mentor data science team members. The role involves defining the analytics vision, creating scalable measurement frameworks, and integrating AI tooling to accelerate insights.

Key Responsibilities

Function as the data science technical lead across multiple product and business teams, setting methodological standards for areas like Payments, Stablecoin, and Custody products.
Partner with product and business leadership to determine analytics strategy, investment initiatives, and success metrics.
Construct reusable scientific frameworks encompassing network health metrics, causal inference playbooks, adoption models, and forecasting approaches.
Drive AI-accelerated analytics by applying LLMs and agentic workflows to automate routine analysis and scale insight generation.
Measure customer growth, transaction corridors, and on-chain activity to surface the causal drivers behind adoption and volume.
Communicate complex analytical results into clear narratives for executive leadership and external stakeholders.
Elevate the data science function through mentorship and thought leadership across embedded teams.

Requirements

Bring eight or more years of experience in data science or quantitative analysis with senior-level impact across multiple teams.
Demonstrate technical leadership across cross-functional teams while influencing strategy at execution and executive levels.
Design reusable analytics and measurement frameworks that scale across various products.
Apply AI hands-on to accelerate analytics workflows, including agentic analysis and natural-language data interfaces.
Exhibit deep expertise in experimentation, causal inference, forecasting, and statistical modeling in product environments.
Demonstrate proficiency in Python or R, fluency in SQL, and familiarity with large-scale data technologies.

Nice to Have

Experience working with Databricks, Airflow, and dBT.
Background in FinTech, payments, crypto, or blockchain data.
An advanced degree such as an MS or PhD in a quantitative field.

Skills and Tools

Python
R
SQL
Databricks
Airflow
dBT
LLMs
Agentic workflows
Statistical modeling
Causal inference
Forecasting
Experimentation

Salary and Benefits

Annual base salary range of $212,000 to $265,000 USD for positions based in California, excluding equity, bonuses, or commissions.
Competitive salary, bonuses, equity, and employee giving matches.
Comprehensive benefits covering physical and mental healthcare, retirement, family forming, and family support.
Financial perks including mobile phone stipends, wellness reimbursements, and R&R days.
Generous vacation policy, industry-leading parental leave, family planning benefits, and catered lunches with fully-stocked kitchens.
Professional development budget and flexible in-office collaboration policies requiring 10+ days per month.

About the Company

Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system. The company operates in a fast-paced environment that emphasizes diversity, inclusion, and in-office collaboration for moments that matter.

How to Apply

Apply directly on the official Ripple careers page.

Skills and tech stack

PythonRSQLDatabricksAirflowdBTLLMs

Questions candidates ask

What is the salary range for the Staff Data Scientist position?

For positions based in California, the annual base salary range is $212,000 to $265,000 USD, which does not include equity, bonuses, or additional commissions.

Where is this job located?

This position is based in San Francisco, CA, with flexible in-office collaboration requirements of 10 plus days a month determined by managers and teams.

How many years of experience are required?

Candidates must have 8 or more years of experience in data science or quantitative analysis.

What technical skills are necessary for the role?

Applicants need expertise in Python or R, fluency in SQL, and experience with statistical modeling, causal inference, forecasting, experimentation, and AI-accelerated analytics workflows.

Is an advanced degree mandatory?

An advanced degree such as an MS or PhD in a quantitative field is preferred rather than strictly mandatory.

Ready to apply?

The application is on the official Ripple careers page.

Apply on company site